18CSE390T - Computer Vision Unit 2 & 3

Comments

Post a Comment

Popular posts from this blog

18CSC305J - Artificial Intelligence UNIT 4 & 5

Image
 I have only updated some answers...The ppt is not clear and many contents are missing, so you can say we have to refer online only for the answers. So please make do with these. 4M: Supervised vs Unsupervised SUPERVISED LEARNING UNSUPERVISED LEARNING Requires labeled data Uses unlabeled data Predicts output based on input-output relationships Extracts patterns or relationships from the input data Classification and regression Clustering and association Receives feedback during training to adjust parameters Does not receive explicit feedback during training More complex More simple What is adaptive network? Adaptive learning brings human analysts into the process at every step. This is in contrast to rule-based, simple machine learning and deep learning approaches, where the humans only create rules and label data at the start of the process.  Adaptive learning systems require the least human effort because they only require human input when it matters most and continually exp...
Read more

18CSC303J - Database Management System UNIT 4 & 5 - 12 MARKS

Image
12M: 2) 2NF and 3NF with examples Second Normal Form (2NF): For a table to be in the Second Normal Form, It should be in the first normal form It should not have partial dependency 1 column primary key (Basically no 2 rows have the same primary keys) Example: Here the course code is unique and can be taken as primary key SUBJECT NAME COURSE CODE DBMS CS101 CD CS152 AI CS154 Storing student enrollment in various courses. Here, both the columns are not unique, but the tuple (student name, course code) is unique since a student cannot enroll in the same course more than once). But this is not the second normal form. STUDENT NAME COURSE CODE A CS152 B CS101 A CS154 C CS101 To convert to 2NF, we need to break it into 2 tables. In the first table, the second column is unique and we can attach each of these with the course codes in the second table STUDENT NAME ENROLLMENT NUMBER A 1 B 2 C 3 COURSE CODE ENROLLMENT NUMBER CS101 2 CS101 3 CS152 1 CS154 1 These 2 tables together provide u...
Read more

18CSC303J - Database Management System UNIT 4 & 5 - 4 MARKS

Image
TOTALLY THERE WERE 10 4M GIVEN. 5 FROM SET A  AND 5 FROM SET B. I HAVE TAKEN 4 FROM EACH SET   4M: 1) Design goals of relational database design & 6) paraphrase the pitfalls occurring in relational database design Relational database design requires that we find a ‘good’ collection of relation schemas. A bad design may lead to Repetition of information inability to represent certain information Design goals: Avoid redundant data Ensure that relationships among attributes are represented Facilitate the checking of updates for violation of database integrity constraints Redundancy: Wastes space Complicates updating, introducing possibility of inconsistency Null values Can use, but difficult to handle Cannot store information if value does not exist 2) attribute closure of functional dependency with example The closure of functional dependency means the complete set of all possible attributes that can be functionally derived from given functional dependency using the inferenc...
Read more